Digital Marketing Analytics in Theory Course Experience and Review
Is Your Business Struggling?
Why digital marketing analytics should be a priority in a modern world?
The key solution is in Digital Marketing Analytic course! We’re MBA students who will provide you a brief review and concise must-knows context of Modern Data Analytics, Consumer Brand Relationship, and Science of Analytics.
Most of course reviews are typically done in the form of star ratings and short comments. But our course review will be the only one that is based on MBA students' first-hand experience and on the most recent information updated in 2021. It is easy to understand and concise (less than 7 minutes to read) since it contains much more visual aids than written texts.
Course Name : Digital Marketing Analytics in Theory
University : University of Illinois at Urbana-Champaign
Level : Beginner
Commitment : 4 weeks of study, 8-10 hours/week
Language : English
Subtitles: Arabic, French, Portuguese (European),
Italian, Vietnamese, German, Russian, Spanish
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Lecturer Background
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About the Course
Week 1 - Module 1 looks at modern analysts and analytics in the context of its distinct historical epochs, each one containing major inflection points and laying a foundation for future advancements in the ART + SCIENCE that is modern data analytics.
Week 2 - In Module 2, we explore each digital channel in-depth, including a discussion of key metrics and measurements, how consumers interact with brands on each platform, and ways of organizing consumer data that enable actionable insights.
Week 3 - Module 3 focuses on understanding digital data creation, how brands use that data to measure digital marketing effectiveness, and the tools and skill sets analysts need to work effectively with data. While the contents are lightly technical, this section veers into the colloquial as I dive into multitouch attribution models, media mix models, incrementality studies, and other ways analysts conduct marketing measurement today.
Week 4 - Module 4 provides a useful framework for evaluating data analysis and visualization (“dataviz”) tools and explains the critical importance of digital marketing maturity to analysts and the companies for which they work.
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Course Review
Content Quality
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